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quantum-toc.md

Azure Quantum documentation

Overview

What is Azure Quantum?

Get started

Create an Azure Quantum workspace

Get started with Q# and an Azure Quantum notebook

Create and run a Qiskit circuit

Create and run a simple optimization job

Understanding job costs in Azure Quantum

Quantum computing

Overview

Understanding Quantum Computing

What are Q# and the Quantum Development Kit

Quickstarts

Submit a circuit with Cirq

Submit a circuit in provider-specific format

Tutorials

Quantum random number generator

Explore entanglement with Q#

Implement Grover's search algorithm

Qubit-level programming

How-to guides

Submit Q# jobs

Publish a Q# job as an Azure Function

Simulators and resource estimators

The Q# user guide

Quantum Computing Concepts

Quantum computing history & background

Linear algebra for quantum computing

Vectors and matrices

Advanced matrix concepts

The qubit

Multiple qubits

Dirac notation

Pauli measurements

Quantum circuits

Quantum oracles

Open quantum systems

Theory of Grover's algorithm

Resources

Provider reference

Quantum computing providers

Quantum computing profile targets

IonQ

IonQ provider & targets
IonQ support policy

Quantinuum

Quantinuum provider & targets
Quantinuum support policy

Honeywell (Deprecated)

Migration Guide
Honeywell provider & targets
Honeywell support policy

Samples for using Azure Quantum Computing >>

Azure Quantum Credits FAQ

Q# compiler messages

Optimization

Overview

What is optimization?

Key concepts

How-to guides

Submit optimization jobs

Publish a QIO job as an Azure Function

Concepts

Which solver should I use?

Binary optimization (QUBOs & PUBOs)

Ising model

Cost functions

Troubleshooting

Troubleshoot optimization solvers

Resources

Provider reference

Optimization providers

Microsoft QIO

Overview
Simulated Annealing
Population Annealing
Parallel Tempering
Tabu Search
Quantum Monte Carlo
Substochastic Monte Carlo

1QBit

1QBit provider & targets
1QBit support policy

Toshiba SQBM+

Toshiba SQBM+ provider & targets
Toshiba SQBM+ support policy

Samples for using Azure Quantum optimization solvers >>

Python SDK

Azure.Quantum

Workspace

Job

Azure.Quantum.Optimization

Problem

ProblemType

StreamingProblem

Solver inputs

Term

SlcTerm

RangeSchedule

GroupType

Usage

Express a problem

Apply a solver

Understand solver results

Job management

Re-use problem definitions

Solve long-running problems

Solve a batch of problems using asyncio

Use a local development environment

Configuration

Configure your local environment

Set up a Q# standalone or .NET environment

Set up a Q# + Python environment

Use Python without Q#

Quickstarts

Create a quantum-based random number generator

Solve a simple optimization problem

Submit a circuit with Qiskit

Submit a circuit with Cirq

Submit a circuit in provider-specific format

How-to guides

Write a Q# program to run on local simulator

Write a Q# and Python program to run on local simulator

Write a Q# and .NET program to run on local simulator

Use a Binder environment

Manage Azure Quantum

Run Azure Quantum notebooks

Update the QDK

Work with jobs

Add or remove a provider

Authenticate using a service principal

Authenticate using a managed identity

Work with Azure Quantum using the Azure CLI

Work with Azure Quantum using the Azure Resource Manager

Protect Azure Quantum with resource locks

Integrate with Azure Architecture

DevOps for quantum computing

CI/CD for quantum computing jobs

Loosely coupled quantum computing

Tightly coupled quantum computing

Resources

Azure Quantum pricing

Glossary

Common issues

Build your skills with MS Learn >>

Learn Q# with the Quantum Katas

Q# code samples >>

Further reading

Azure CLI commands >>

Contributing to the Quantum Development Kit

Contributing to the QDK

Report bugs

Improving documentation

Opening pull requests

Contribute code

Contribute samples

Style guide for contributors

API design principles for Q#

Release notes

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